[PDF.87ln] Exploratory Data Mining and Data Cleaning

Exploratory Data Mining and Data Cleaning

[PDF.yi54] Exploratory Data Mining and Data Cleaning

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 | #2016746 in Books |  2003-05-09 | Original language:English | PDF # 1 |  9.65 x.84 x6.38l,1.12 | File type: PDF | 224 pages

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||5 of 6 people found the following review helpful.| Terrific intro to the issues|By Just a Customer|This is the best deep and practical introduction to data cleaning that I have seen. It provides an excellent overview of the practical problems in data cleaning, gives a good intuitive feeling for the core issues of outliers and robust statistics, and overviews of a good set of techniques for addressing data cleaning issues in a| |"Statisticians not conversant with today's statistical take on DQ should read this book…and be stimulated to do important research in DQ." (Journal of the American Statistical Association, March 2006) |"…uniquely integrates several approa

• Written for practitioners of data mining, data cleaning and database management.
• Presents a technical treatment of data quality including process, metrics, tools and algorithms.
• Focuses on developing an evolving modeling strategy through an iterative data exploration loop and incorporation of domain knowledge.
• Addresses methods of detecting, quantifying and correcting data quality issues that can have a significant impact on findings a...
  
  You can specify the type of files you want, for your device.Exploratory Data Mining and Data Cleaning   |  Tamraparni Dasu, Theodore Johnson.Not only was the story interesting, engaging and relatable, it also teaches lessons.
  
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